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Solving sparse non-negative tensor equations: algorithms and applications
Xutao Li
,
Michael K. Ng
*
*
Corresponding author for this work
Department of Mathematics
Research output
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Contribution to journal
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Journal article
›
peer-review
95
Citations (Scopus)
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Dive into the research topics of 'Solving sparse non-negative tensor equations: algorithms and applications'. Together they form a unique fingerprint.
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Keyphrases
Nonnegative Tensor
100%
Tensor Equation
100%
Community Detection
40%
Iterative Methods
40%
Jacobi
40%
Gauss-Seidel Method
40%
Query Search
40%
Information Retrieval
40%
Multidimensional Networks
40%
Data Mining Applications
20%
Linear Convergence
20%
Sparse Tensors
20%
Tensor Structure
20%
Multivariate Polynomial Systems
20%
Mathematics
Tensor
100%
Nonnegative Tensor
100%
Iterative Method
50%
Gauss-Seidel Method
50%
Polynomial
25%
Data Mining
25%
Linear Convergence
25%
Computer Science
Information Retrieval
100%
Multi-dimensional Network
100%
Experimental Result
50%
Data Mining Application
50%
Structure Tensor
50%
Engineering
Gauss-Seidel Method
100%
Experimental Result
50%
Illustrates
50%
Polynomial System
50%